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                        第3节：jupyternotebook使用
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                            <b>1.4.</b>
                        
                        第4节：作业
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                            <b>2.</b>
                        
                        第二章：Numpy库
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                            <b>2.2.</b>
                        
                        第2节：numpy数组基本
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                            <b>2.3.</b>
                        
                        第3节：numpy数组操作
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                            <b>2.4.</b>
                        
                        第4节：numpy索引和切片
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                            <b>2.5.</b>
                        
                        第5节：Numpy索引和切片作业
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                            <b>2.6.</b>
                        
                        第6节：numpy数组操作
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                            <b>2.7.</b>
                        
                        第7节：深拷贝和浅拷贝
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                            <b>2.8.</b>
                        
                        第8节：文件操作
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                            <b>2.9.</b>
                        
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                            <b>2.10.</b>
                        
                        第10节：NAN和INF值处理.md
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                            <b>2.11.</b>
                        
                        第11节：random模块.md
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                            <b>2.12.</b>
                        
                        第12节：axis理解.md
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                        第13节：通用函数.md
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                            <b>2.14.</b>
                        
                        第14节：numpy练习题.md
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                            <b>3.</b>
                        
                        第三章：Pandas库
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                        第1节：pandas介绍
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                            <b>3.2.</b>
                        
                        第2节：pandas索引操作
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                            <b>3.3.</b>
                        
                        第3节：pandas对齐运算
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                            <b>3.4.</b>
                        
                        第4节：pandas函数应用
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                            <b>3.5.</b>
                        
                        第5节：pandas层级索引
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                            <b>3.6.</b>
                        
                        第6节：pandas统计计算和描述
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                            <b>3.7.</b>
                        
                        第7节：文件操作
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                            <b>3.8.</b>
                        
                        第8节：数据清洗
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                            <b>3.9.</b>
                        
                        第9节：聚合和分组
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                            <b>3.10.</b>
                        
                        第10节：时间序列
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                            <b>4.</b>
                        
                        第四章：Matploblib库
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                            <b>4.1.</b>
                        
                        第1节：常用图
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                            <b>4.2.</b>
                        
                        第2节：基本使用
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                            <b>4.3.</b>
                        
                        第3节：条形图
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                            <b>4.4.</b>
                        
                        第4节：直方图
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                            <b>4.5.</b>
                        
                        第5节：散点图
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                            <b>4.6.</b>
                        
                        第6节：饼图
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                            <b>4.7.</b>
                        
                        第7节：箱线图
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                            <b>4.8.</b>
                        
                        第8节：雷达图
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                            <b>4.9.</b>
                        
                        第9节：matplotlib绘图分析
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                            <b>4.10.</b>
                        
                        第10节：多图布局
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                            <b>4.11.</b>
                        
                        第11节：matplotlib配置
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                            <b>4.12.</b>
                        
                        第12节：matplotlib作业
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                            <b>5.</b>
                        
                        第五章：Seaborn库
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                            <b>5.1.</b>
                        
                        第1节：关系绘图
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                            <b>5.2.</b>
                        
                        第2节：分类绘图
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                            <b>5.3.</b>
                        
                        第3节：分布绘图
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                            <b>5.4.</b>
                        
                        第4节：线性关系绘图
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                            <b>5.5.</b>
                        
                        第5节：FacetGrid结构图
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                            <b>5.6.</b>
                        
                        第6节：样式设置
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                            <b>5.7.</b>
                        
                        第7节：调色盘设置
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                            <b>5.8.</b>
                        
                        第8节：seaborn作业
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                            <b>6.</b>
                        
                        第六章：统计分析强化
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                            <b>6.1.</b>
                        
                        第1节：常用专业数学术语
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                            <b>6.2.</b>
                        
                        第2节：平均数
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                            <b>6.3.</b>
                        
                        第3节：方差和标准差
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                            <b>6.4.</b>
                        
                        第4节：正态分布
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                            <b>6.5.</b>
                        
                        第5节：对比分析
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                            <b>6.6.</b>
                        
                        第6节：分布分析
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                        第7节：交叉分析
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                        第8节：统计分析
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                            <b>6.9.</b>
                        
                        第9节：帕累托分析
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                            <b>6.10.</b>
                        
                        第10节：矩阵关联分析
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                            <b>6.11.</b>
                        
                        第11节：综合性分析
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                        第七章：数据分析实战
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                            <b>7.1.</b>
                        
                        第1节：App数据分析实战
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                            <b>7.2.</b>
                        
                        第2节：心脏病患者数据分析
                    </a>
            
            
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                            <b>7.3.</b>
                        
                        第3节：StackoverFlow数据分析
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                            <b>7.4.</b>
                        
                        第4节：二手房数据分析
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                            <b>7.5.</b>
                        
                        第5节：吃鸡数据分析
                    </a>
            
            
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                            <b>7.6.</b>
                        
                        第6节：黑色星期五数据分析
                    </a>
            
            
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                            <b>8.</b>
                        
                        第八章：补充
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                            <b>8.1.</b>
                        
                        第1节：用Excel做数据分析
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                            <b>8.2.</b>
                        
                        第2节：echarts和pyecharts库
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                        第3节：bokeh库
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                        <h1 id="facetgrid&#x7ED3;&#x6784;&#x56FE;">FacetGrid&#x7ED3;&#x6784;&#x56FE;</h1>
<p>&#x4E4B;&#x524D;&#x6211;&#x4EEC;&#x5728;&#x7ED8;&#x56FE;&#x7684;&#x65F6;&#x5019;&#xFF0C;&#x5B66;&#x4E86;<code>relplot</code>&#x3001;<code>catplot</code>&#x3001;<code>lmplot</code>&#x7B49;&#xFF0C;&#x8FD9;&#x4E9B;&#x51FD;&#x6570;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;<code>col</code>&#x3001;<code>row</code>&#x7B49;&#x5728;&#x4E00;&#x4E2A;<code>Figure</code>&#x4E2D;&#x7ED8;&#x5236;&#x591A;&#x4E2A;&#x56FE;&#x3002;&#x8FD9;&#x4E9B;&#x51FD;&#x6570;&#x4E4B;&#x6240;&#x4EE5;&#x6709;&#x8FD9;&#x4E9B;&#x529F;&#x80FD;&#xFF0C;&#x662F;&#x56E0;&#x4E3A;&#x4ED6;&#x4EEC;&#x7684;&#x5E95;&#x5C42;&#x4F7F;&#x7528;&#x4E86;<code>FacetGrid</code>&#x6765;&#x7EC4;&#x88C5;&#x8FD9;&#x4E9B;&#x56FE;&#x5F62;&#x3002;&#x4ECA;&#x5929;&#x6211;&#x4EEC;&#x5C31;&#x6765;&#x5B66;&#x4E60;<code>FacetGrid</code>&#x7684;&#x4F7F;&#x7528;&#x3002;</p>
<h2 id="&#x666E;&#x901A;&#x7684;axes&#x7ED8;&#x56FE;&#xFF1A;">&#x666E;&#x901A;&#x7684;Axes&#x7ED8;&#x56FE;&#xFF1A;</h2>
<p>&#x5728;&#x5B66;&#x4E60;<code>FacetGrid</code>&#x7ED8;&#x56FE;&#x4E4B;&#x524D;&#xFF0C;&#x5148;&#x6765;&#x4E86;&#x89E3;&#x4E00;&#x4E0B;&#xFF0C;&#x5B9E;&#x9645;&#x4E0A;<code>seaborn</code>&#x7684;&#x7ED8;&#x56FE;&#x51FD;&#x6570;&#x4E2D;&#x4E5F;&#x6709;&#x5927;&#x91CF;&#x7684;&#x76F4;&#x63A5;&#x4F7F;&#x7528;<code>Axes</code>&#x8FDB;&#x884C;&#x7ED8;&#x56FE;&#x7684;&#xFF0C;&#x51E1;&#x662F;&#x51FD;&#x6570;&#x540D;&#x4E2D;&#x5DF2;&#x7ECF;&#x660E;&#x786E;&#x663E;&#x793A;&#x4E86;&#x8FD9;&#x4E2A;&#x56FE;&#x7684;&#x7C7B;&#x578B;&#xFF0C;&#x8FD9;&#x79CD;&#x56FE;&#x90FD;&#x662F;&#x4F7F;&#x7528;<code>Axes</code>&#x7ED8;&#x56FE;&#x7684;&#x3002;&#x6BD4;&#x5982;<code>sns.scatterplot</code>&#x3001;<code>sns.lineplot</code>&#x3001;<code>sns.barplot</code>&#x7B49;&#x3002;<code>Axes</code>&#x7ED8;&#x56FE;&#x53EF;&#x4EE5;&#x76F4;&#x63A5;&#x4F7F;&#x7528;&#x4E4B;&#x524D;<code>matplotlib</code>&#x7684;&#x4E00;&#x4E9B;&#x65B9;&#x5F0F;&#x8BBE;&#x7F6E;&#x56FE;&#x7684;&#x5143;&#x7D20;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">fig,[ax1,ax2] = plt.subplots(<span class="hljs-number">2</span>,<span class="hljs-number">1</span>,figsize=(<span class="hljs-number">10</span>,<span class="hljs-number">10</span>))
sns.scatterplot(x=<span class="hljs-string">&quot;total_bill&quot;</span>,y=<span class="hljs-string">&quot;tip&quot;</span>,data=tips,ax=ax1)
sns.barplot(x=<span class="hljs-string">&quot;day&quot;</span>,y=<span class="hljs-string">&quot;total_bill&quot;</span>,data=tips,ax=ax2)
</code></pre>
<p><img src="../assets/chapter05/facetgrid9.png" alt=""></p>
<h2 id="facetgrid&#x57FA;&#x672C;&#x4F7F;&#x7528;&#xFF1A;">FacetGrid&#x57FA;&#x672C;&#x4F7F;&#x7528;&#xFF1A;</h2>
<p>&#x5148;&#x521B;&#x5EFA;&#x4E00;&#x4E2A;<code>FacetGrid</code>&#x5BF9;&#x8C61;&#xFF0C;&#x7136;&#x540E;&#x518D;&#x8C03;&#x7528;&#x8FD9;&#x4E2A;&#x5BF9;&#x8C61;&#x7684;<code>map</code>&#x65B9;&#x6CD5;&#x3002;&#x5176;&#x4E2D;<code>map</code>&#x65B9;&#x6CD5;&#x7684;&#x7B2C;&#x4E00;&#x4E2A;&#x53C2;&#x6570;&#x662F;&#x4E00;&#x4E2A;&#x51FD;&#x6570;&#xFF0C;&#x540E;&#x7EED;<code>map</code>&#x5C06;&#x8C03;&#x7528;&#x8FD9;&#x4E2A;&#x51FD;&#x6570;&#x6765;&#x7ED8;&#x5236;&#x56FE;&#x5F62;&#x3002;&#x540E;&#x9762;&#x7684;&#x53C2;&#x6570;&#x5C31;&#x662F;&#x4F20;&#x7ED9;&#x8FD9;&#x4E2A;&#x51FD;&#x6570;&#x7684;&#x53C2;&#x6570;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">tips = sns.load_dataset(<span class="hljs-string">&quot;tips&quot;</span>)
g = sns.FacetGrid(tips)
g.map(plt.scatter,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
</code></pre>
<p>&#x6548;&#x679C;&#x56FE;&#x5982;&#x4E0B;&#xFF1A;<br><img src="../assets/chapter05/facetgrid1.png" alt=""></p>
<p>&#x5176;&#x4E2D;&#x7B2C;&#x4E00;&#x4E2A;&#x53C2;&#x6570;&#x662F;&#x53EF;&#x4EE5;&#x7ED8;&#x5236;<code>Axes</code>&#x56FE;&#xFF0C;&#x5E76;&#x4E14;&#x53EF;&#x4EE5;&#x63A5;&#x6536;<code>color</code>&#x53C2;&#x6570;&#x7684;&#x51FD;&#x6570;&#x3002;&#x53EF;&#x4EE5;&#x53D6;&#x7684;&#x503C;&#x5982;&#x4E0B;&#xFF1A;</p>
<table>
<thead>
<tr>
<th>&#x53C2;&#x6570;</th>
<th>&#x63CF;&#x8FF0;</th>
<th>&#x5BF9;&#x5E94;&#x4F7F;&#x7528;&#x4E86;<code>FacetGrid</code>&#x51FD;&#x6570;</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>plt.plot</code>/<code>sns.lineplot</code></td>
<td>&#x7ED8;&#x5236;&#x6298;&#x7EBF;&#x56FE;</td>
<td><code>sns.relplot(kind=&quot;line&quot;)</code></td>
</tr>
<tr>
<td><code>plt.hexbin</code></td>
<td>&#x7ED8;&#x5236;&#x516D;&#x8FB9;&#x5F62;&#x56FE;&#x5F62;</td>
<td><code>sns.jointplot(kind=&quot;hex&quot;)</code></td>
</tr>
<tr>
<td><code>plt.hist</code></td>
<td>&#x7ED8;&#x5236;&#x76F4;&#x65B9;&#x56FE;</td>
<td><code>sns.distplot</code></td>
</tr>
<tr>
<td><code>plt.scatter</code>/<code>sns.scatterplot</code></td>
<td>&#x7ED8;&#x5236;&#x6563;&#x70B9;&#x56FE;</td>
<td><code>sns.relplot(kind=&quot;scatter&quot;)</code></td>
</tr>
<tr>
<td><code>sns.stripplot</code></td>
<td>&#x7ED8;&#x5236;&#x5206;&#x7C7B;&#x6563;&#x70B9;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;strip&quot;)</code></td>
</tr>
<tr>
<td><code>sns.swarmplot</code></td>
<td>&#x7ED8;&#x5236;&#x6563;&#x5F00;&#x6765;&#x7684;&#x5206;&#x7C7B;&#x6563;&#x70B9;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;swarm&quot;)</code></td>
</tr>
<tr>
<td><code>sns.boxplot</code></td>
<td>&#x7ED8;&#x5236;&#x7BB1;&#x7EBF;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;box&quot;)</code></td>
</tr>
<tr>
<td><code>sns.violinplot</code></td>
<td>&#x7ED8;&#x5236;&#x5C0F;&#x63D0;&#x7434;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;violin&quot;)</code></td>
</tr>
<tr>
<td><code>sns.pointplot</code></td>
<td>&#x7ED8;&#x5236;&#x70B9;&#x7EBF;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;point&quot;)</code></td>
</tr>
<tr>
<td><code>sns.barplot</code></td>
<td>&#x7ED8;&#x5236;&#x6761;&#x5F62;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;bar&quot;)</code></td>
</tr>
<tr>
<td><code>sns.countplot</code></td>
<td>&#x7ED8;&#x5236;&#x6570;&#x91CF;&#x67F1;&#x72B6;&#x56FE;</td>
<td><code>sns.catplot(kind=&quot;count&quot;)</code></td>
</tr>
<tr>
<td><code>sns.regplot</code></td>
<td>&#x7ED8;&#x5236;&#x5E26;&#x6709;&#x56DE;&#x5F52;&#x7EBF;&#x7684;&#x6563;&#x70B9;&#x56FE;</td>
<td><code>sns.lmplot</code></td>
</tr>
</tbody>
</table>
<h2 id="&#x7ED8;&#x5236;&#x591A;&#x4E2A;&#x56FE;&#x5F62;&#xFF1A;">&#x7ED8;&#x5236;&#x591A;&#x4E2A;&#x56FE;&#x5F62;&#xFF1A;</h2>
<p><code>FacetGrid</code>&#x53EF;&#x4EE5;&#x901A;&#x8FC7;<code>col</code>&#x548C;<code>row</code>&#x53C2;&#x6570;&#xFF0C;&#x6765;&#x5728;&#x4E00;&#x4E2A;<code>Figure</code>&#x4E0A;&#x7ED8;&#x5236;&#x591A;&#x4E2A;&#x56FE;&#x5F62;&#xFF0C;&#x5176;&#x4E2D;<code>col</code>&#x548C;<code>row</code>&#x90FD;&#x662F;&#x6570;&#x636E;&#x96C6;&#x4E2D;&#x7684;&#x67D0;&#x4E2A;&#x5217;&#x7684;&#x540D;&#x5B57;&#x3002;&#x53EA;&#x8981;&#x6307;&#x5B9A;&#x8FD9;&#x4E2A;&#x540D;&#x5B57;&#xFF0C;&#x90A3;&#x4E48;&#x5C31;&#x4F1A;&#x81EA;&#x52A8;&#x7684;&#x6309;&#x7167;&#x6307;&#x5B9A;&#x5217;&#x7684;&#x503C;&#x7684;&#x4E2A;&#x6570;&#x7ED8;&#x5236;&#x6307;&#x5B9A;&#x4E2A;&#x6570;&#x7684;&#x56FE;&#x5F62;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,col_wrap=<span class="hljs-number">2</span>)
g.map(sns.regplot,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
</code></pre>
<p>&#x6548;&#x679C;&#x56FE;&#x5982;&#x4E0B;&#xFF1A;<br><img src="../assets/chapter05/facetgrid2.png" alt=""></p>
<h2 id="&#x6DFB;&#x52A0;&#x989C;&#x8272;&#x89C2;&#x5BDF;&#x5B57;&#x6BB5;&#xFF1A;">&#x6DFB;&#x52A0;&#x989C;&#x8272;&#x89C2;&#x5BDF;&#x5B57;&#x6BB5;&#xFF1A;</h2>
<p>&#x53EF;&#x4EE5;&#x901A;&#x8FC7;&#x6DFB;&#x52A0;<code>hue</code>&#x53C2;&#x6570;&#x6765;&#x63A7;&#x5236;&#x6BCF;&#x4E2A;&#x56FE;&#x4E2D;&#x5143;&#x7D20;&#x7684;&#x989C;&#x8272;&#x6765;&#x89C2;&#x5BDF;&#x5176;&#x4ED6;&#x7684;&#x5B57;&#x6BB5;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,hue=<span class="hljs-string">&quot;time&quot;</span>)
g.map(sns.regplot,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
</code></pre>
<p><img src="../assets/chapter05/facetgrid4.png" alt=""></p>
<p>&#x4E5F;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;<code>hue_kws</code>&#x53C2;&#x6570;&#x6765;&#x6DFB;&#x52A0;<code>hue</code>&#x6563;&#x70B9;&#x7684;&#x5C5E;&#x6027;&#xFF0C;&#x6BD4;&#x5982;&#x8BBE;&#x7F6E;&#x6563;&#x70B9;&#x7684;&#x6837;&#x5F0F;&#x7B49;&#x3002;</p>
<h2 id="&#x8BBE;&#x7F6E;&#x6BCF;&#x4E2A;&#x56FE;&#x5F62;&#x7684;&#x5C3A;&#x5BF8;&#xFF1A;">&#x8BBE;&#x7F6E;&#x6BCF;&#x4E2A;&#x56FE;&#x5F62;&#x7684;&#x5C3A;&#x5BF8;&#xFF1A;</h2>
<p>&#x4F7F;&#x7528;<code>FacetGrid</code>&#x7ED8;&#x5236;&#x51FA;&#x56FE;&#x5F62;&#x540E;&#xFF0C;&#x6709;&#x65F6;&#x5019;&#x6211;&#x4EEC;&#x60F3;&#x8BBE;&#x7F6E;&#x6BCF;&#x4E2A;&#x56FE;&#x5F62;&#x7684;&#x5C3A;&#x5BF8;&#x6216;&#x8005;&#x662F;&#x5BBD;&#x9AD8;&#x6BD4;&#xFF0C;&#x90A3;&#x4E48;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;&#x5728;<code>FacetGrid</code>&#x4E2D;&#x8BBE;&#x7F6E;<code>height</code>&#x548C;<code>aspect</code>&#x6765;&#x5B9E;&#x73B0;&#xFF0C;&#x5176;&#x4E2D;<code>height</code>&#x8868;&#x793A;&#x7684;&#x662F;&#x6BCF;&#x4E2A;&#x56FE;&#x5F62;&#x7684;&#x5C3A;&#x5BF8;&#xFF08;&#x9ED8;&#x8BA4;&#x662F;&#x5BBD;&#x9AD8;&#x4E00;&#x81F4;&#xFF09;&#xFF0C;<code>aspect</code>&#x8868;&#x793A;&#x7684;&#x662F;<code>&#x5BBD;&#x5EA6;/&#x9AD8;&#x5EA6;</code>&#x7684;&#x6BD4;&#x4F8B;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,row=<span class="hljs-string">&quot;time&quot;</span>,height=<span class="hljs-number">10</span>,aspect=<span class="hljs-number">2</span>)
g.map(sns.regplot,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
</code></pre>
<p>&#x6548;&#x679C;&#x56FE;&#x5982;&#x4E0B;&#xFF1A;<br><img src="../assets/chapter05/facetgrid3.png" alt=""></p>
<h2 id="&#x8BBE;&#x7F6E;&#x56FE;&#x4F8B;&#xFF1A;">&#x8BBE;&#x7F6E;&#x56FE;&#x4F8B;&#xFF1A;</h2>
<p>&#x9ED8;&#x8BA4;&#x60C5;&#x51B5;&#x4E0B;&#xFF0C;&#x4E0D;&#x4F1A;&#x6DFB;&#x52A0;&#x56FE;&#x4F8B;&#xFF0C;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;<code>g.add_legend()</code>&#x6765;&#x6DFB;&#x52A0;&#x56FE;&#x4F8B;&#x3002;&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,hue=<span class="hljs-string">&quot;time&quot;</span>)
g.map(sns.regplot,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
g.add_legend()
</code></pre>
<p><img src="../assets/chapter05/facetgrid5.png" alt=""></p>
<p>&#x53E6;&#x5916;&#x8FD8;&#x53EF;&#x4EE5;&#xFF1A;</p>
<ol>
<li>&#x901A;&#x8FC7;<code>title</code>&#x6765;&#x63A7;&#x5236;&#x56FE;&#x4F8B;&#x7684;&#x6807;&#x9898;&#x3002;</li>
<li>&#x901A;&#x8FC7;<code>label_order</code>&#x6765;&#x63A7;&#x5236;&#x56FE;&#x4F8B;&#x5143;&#x7D20;&#x7684;&#x987A;&#x5E8F;&#x3002;</li>
</ol>
<p>&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">sns.set(rc={<span class="hljs-string">&quot;font.sans-serif&quot;</span>:<span class="hljs-string">&quot;simhei&quot;</span>})
g3 = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,hue=<span class="hljs-string">&quot;time&quot;</span>)
g3.map(plt.scatter,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
new_labels = [<span class="hljs-string">&apos;&#x5348;&#x9910;&apos;</span>,<span class="hljs-string">&apos;&#x665A;&#x9910;&apos;</span>]
g3.add_legend(title=<span class="hljs-string">&quot;&#x65F6;&#x95F4;&quot;</span>)
<span class="hljs-keyword">for</span> t,l <span class="hljs-keyword">in</span> zip(g3._legend.texts,new_labels):
    t.set_text(l)
</code></pre>
<p><img src="../assets/chapter05/facetgrid6.png" alt=""></p>
<h2 id="&#x8BBE;&#x7F6E;&#x6807;&#x9898;&#xFF1A;">&#x8BBE;&#x7F6E;&#x6807;&#x9898;&#xFF1A;</h2>
<p>&#x8BBE;&#x7F6E;&#x6807;&#x9898;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;<code>g.set_titles(template=None,row_template=None,col_template=None)</code>&#x6765;&#x5B9E;&#x73B0;&#xFF0C;&#x8FD9;&#x4E09;&#x4E2A;&#x53C2;&#x6570;&#x5206;&#x522B;&#x4EE3;&#x8868;&#x7684;&#x610F;&#x4E49;&#x5982;&#x4E0B;&#xFF1A;</p>
<ol>
<li><code>template</code>&#xFF1A;&#x7ED9;&#x56FE;&#x8BBE;&#x7F6E;&#x6807;&#x9898;&#xFF0C;&#x5176;&#x4E2D;&#x6709;<code>{row_var}&#xFF1A;&#x7ED8;&#x5236;&#x6BCF;&#x884C;&#x56FE;&#x50CF;&#x7684;&#x540D;&#x79F0;</code>&#xFF0C;<code>{row_name}&#xFF1A;&#x7ED8;&#x5236;&#x6BCF;&#x884C;&#x56FE;&#x50CF;&#x7684;&#x503C;</code>&#xFF0C;<code>{col_var}&#xFF1A;&#x7ED8;&#x5236;&#x6BCF;&#x5217;&#x56FE;&#x50CF;&#x7684;&#x540D;&#x79F0;</code>&#xFF0C;<code>{col_name}&#xFF1A;&#x7ED8;&#x5236;&#x6BCF;&#x5217;&#x56FE;&#x50CF;&#x7684;&#x503C;</code>&#x8FD9;&#x51E0;&#x4E2A;&#x53C2;&#x6570;&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x3002;</li>
<li><code>col_template</code>&#xFF1A;&#x7ED9;&#x56FE;&#x50CF;&#x8BBE;&#x7F6E;&#x5217;&#x7684;&#x6807;&#x9898;&#x3002;&#x5176;&#x4E2D;&#x6709;<code>{col_var}</code>&#x4EE5;&#x53CA;<code>{col_name}</code>&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x3002;</li>
<li><code>row_template</code>&#xFF1A;&#x7ED9;&#x56FE;&#x50CF;&#x8BBE;&#x7F6E;&#x884C;&#x7684;&#x6807;&#x9898;&#x3002;&#x5176;&#x4E2D;&#x6709;<code>{row_var}</code>&#x4EE5;&#x53CA;<code>{row_name}</code>&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x3002;</li>
</ol>
<p>&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g = sns.FacetGrid(tips,col=<span class="hljs-string">&quot;day&quot;</span>,row=<span class="hljs-string">&quot;time&quot;</span>)
g.map(sns.regplot,<span class="hljs-string">&quot;total_bill&quot;</span>,<span class="hljs-string">&quot;tip&quot;</span>)
g.set_titles(template=<span class="hljs-string">&quot;&#x65F6;&#x95F4;{row_name}/&#x661F;&#x671F;{col_name}&quot;</span>)
</code></pre>
<p><img src="../assets/chapter05/facetgrid7.png" alt=""></p>
<h2 id="&#x8BBE;&#x7F6E;&#x5750;&#x6807;&#x8F74;&#xFF1A;">&#x8BBE;&#x7F6E;&#x5750;&#x6807;&#x8F74;&#xFF1A;</h2>
<ol>
<li><code>g.set_axis_labels(x_var,y_var)</code>&#xFF1A;&#x4E00;&#x6B21;&#x6027;&#x8BBE;&#x7F6E;<code>x</code>&#x548C;<code>y</code>&#x7684;&#x5750;&#x6807;&#x7684;&#x6807;&#x9898;&#x3002;</li>
<li><code>g.set_xlabels(label)</code>&#xFF1A;&#x8BBE;&#x7F6E;<code>x</code>&#x8F74;&#x7684;&#x6807;&#x9898;&#x3002;</li>
<li><code>g.set_ylabels(label)</code>&#xFF1A;&#x8BBE;&#x7F6E;<code>y</code>&#x8F74;&#x7684;&#x6807;&#x9898;&#x3002;</li>
<li><code>g.set(xticks,yticks)</code>&#xFF1A;&#x8BBE;&#x7F6E;<code>x</code>&#x548C;<code>y</code>&#x8F74;&#x7684;&#x523B;&#x5EA6;&#x3002;</li>
<li><code>g.set_xticklabels(labels)</code>&#xFF1A;&#x8BBE;&#x7F6E;<code>x</code>&#x8F74;&#x7684;&#x523B;&#x5EA6;&#x6587;&#x5B57;&#x3002;</li>
<li><code>g.set_yticklabels(labels)</code>&#xFF1A;&#x8BBE;&#x7F6E;<code>y</code>&#x8F74;&#x7684;&#x523B;&#x5EA6;&#x6587;&#x5B57;&#x3002;</li>
</ol>
<p>&#x793A;&#x4F8B;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-python">g.set(xticks=range(<span class="hljs-number">0</span>,<span class="hljs-number">60</span>,<span class="hljs-number">10</span>),xticklabels=[<span class="hljs-string">&apos;$0&apos;</span>,<span class="hljs-string">&apos;$10&apos;</span>,<span class="hljs-string">&apos;$20&apos;</span>,<span class="hljs-string">&apos;$30&apos;</span>,<span class="hljs-string">&apos;$40&apos;</span>,<span class="hljs-string">&apos;$50&apos;</span>])
</code></pre>
<p>&#x6548;&#x679C;&#x56FE;&#x5982;&#x4E0B;&#xFF1A;<br><img src="../assets/chapter05/facetgrid8.png" alt=""></p>
<h2 id="gset&#x65B9;&#x6CD5;&#xFF1A;"><code>g.set</code>&#x65B9;&#x6CD5;&#xFF1A;</h2>
<p><code>g.set</code>&#x65B9;&#x6CD5;&#x53EF;&#x4EE5;&#x5BF9;<code>FacetGrid</code>&#x4E0B;&#x7684;&#x6BCF;&#x4E2A;&#x5B50;&#x56FE;<code>Axes</code>&#x8BBE;&#x7F6E;&#x5C5E;&#x6027;&#x3002;&#x5176;&#x4E2D;&#x53EF;&#x4EE5;&#x8BBE;&#x7F6E;&#x7684;&#x53C2;&#x6570;&#x5B8C;&#x5168;&#x662F;&#x6839;&#x636E;<code>Axes</code>&#x7684;&#x5C5E;&#x6027;&#x6765;&#x7684;&#x3002;&#x6BD4;&#x5982;&#x53EF;&#x4EE5;&#x8BBE;&#x7F6E;&#x6BCF;&#x4E2A;<code>Axes</code>&#x7684;<code>facecolor</code>&#x7B49;&#x3002;&#x5173;&#x4E8E;<code>Axes</code>&#x6709;&#x54EA;&#x4E9B;&#x5C5E;&#x6027;&#xFF0C;&#x8BF7;&#x53C2;&#x8003;<code>matplotlib.Axes</code>&#x7684;&#x5B98;&#x65B9;&#x6587;&#x6863;&#xFF1A;<code>https://matplotlib.org/api/axes_api.html?highlight=axes#matplotlib.axes.Axes</code>&#x3002;</p>
<h2 id="gfig&#xFF1A;"><code>g.fig</code>&#xFF1A;</h2>
<p>&#x901A;&#x8FC7;<code>g.fig</code>&#xFF0C;&#x53EF;&#x4EE5;&#x83B7;&#x53D6;&#x5230;&#x5F53;&#x524D;&#x7684;<code>Figure</code>&#x5BF9;&#x8C61;&#x3002;&#x7136;&#x540E;&#x901A;&#x8FC7;<code>Figure</code>&#x5BF9;&#x8C61;&#x518D;&#x53EF;&#x4EE5;&#x8BBE;&#x7F6E;&#x5176;&#x4ED6;&#x7684;&#x5C5E;&#x6027;&#xFF0C;&#x6BD4;&#x5982;<code>dip</code>&#x7B49;&#x3002;</p>

                    
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